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Data Management Plan template for H2020 projects

Elias P. Koumoulos; Marco Sebastiani; Nikolaos Romanos; Maritini Kalogerini; Costas Charitidis

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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Elias P. Koumoulos</dc:creator>
  <dc:creator>Marco Sebastiani</dc:creator>
  <dc:creator>Nikolaos Romanos</dc:creator>
  <dc:creator>Maritini Kalogerini</dc:creator>
  <dc:creator>Costas Charitidis</dc:creator>
  <dc:description>In order to improve and maximize access to and re-use of research data generated by Horizon 2020 projects,within the Open Research Data Pilot (ORD pilot), research data that refer to information, in particular facts or numbers, are collected to be examined and considered as a basis for reasoning, discussion, or calculation. In a research context, examples of data include statistics, results of experiments, measurements, observations resulting from fieldwork, survey results, interview recordings and images. The focus is on research data that is available in digital form. The ORD pilot takes into account the need to balance openness and protection of scientific information, commercialization and Intellectual Property Rights (IPR), privacy concerns, security as well as data management and preservation questions. The ORD pilot applies primarily to the data needed to validate the results that are presented in scientific publications. However, other data can also be provided by the beneficiaries. In principle, developing a Data Management Plan (DMP) is a key element for efficient data management. DMP describes the life cycle of the data to be generated, collected and processed by a Horizon 2020 project; it is required all projects participating in the extended ORD pilot. However, projects that opt out of the ORD pilot are still encouraged to submit a DMP on a voluntary basis. Aiming for findable, accessible, interoperable and re-usable data (known as FAIR Data), an efficient DMP includes information on:

	the handling of research data during &amp;after the end of the project
	what data will be collected, processed and/or generated
	which methodology &amp; standards will be applied
	whether data will be shared/made open access and
	how data will be curated &amp; preserved (also after the end of the project)
  <dc:subject>Data Management Plan, access to and re-use of research data, Open Research Data Pilot (ORDP), statistics, database, findable, accessible, interoperable and re-usable data (FAIR Data), template, H2020, Horizon, NMBP</dc:subject>
  <dc:title>Data Management Plan template for H2020 projects</dc:title>
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